主要涉及不同threads之间的通信和同步, 首先利用https://github.com/yottaawesome/cuda-by-example/blob/master/src/chapter05/add_loop_long_blocks.cu这个例子解释了blocksPerGrid, threadsPerBlock的含义,以及如何完成长度超过threads上限的向量加运算。 同一个block内的threads间可以利用shared memory共享数据 __synct...
Download source code for the book's examples (.zip) NOTE:Please readthis licensebefore downloading the software. Errata CUDA by Example Table of Contents Why CUDA? Why Now? Getting Started Introduction to CUDA C Parallel Programming in CUDA C ...
gitclonehttps://github.com/CodedK/CUDA-by-Example-source-code-for-the-book-s-examples-.git 首先是报错 nvcc -o ray ray.cu In file included from ../common/cpu_bitmap.h:20:0, from ray.cu:19: ../common/gl_helper.h:44:21: fatal error: GL/glut.h: No such file or directory#inclu...
Building examples via CMake is broken as discussed in issueCUDA Error 700, Illegal Memory Access, for a trivial example using Struct interface#845. As far as I can test, this hasn't been fixed Examples need to be built separately via Make Steps to reproduce the behavior Setting CUDA_HOME ...
The goal of this series is to provide a learning platform for common CUDA patterns through examples written in Numba CUDA. What this series is not, is a comprehensive guide to either CUDA or Numba. The reader may refer to their respective documentations for that. The structure of this tutori...
CUDA by Example,written by two senior members of the CUDA software platform team, shows programmers how to employ this new technology. The authors introduce each area of CUDA development through working examples. After a concise introduction to the CUDA platform and architecture, as well as a qui...
这里列了一些 CUDA 编程入门的书籍、博客、Samples,适合初学入门。 1. Professional CUDA C Programming 代码地址:github.com/deeperlearni 2. Learn CUDA Programming 代码地址:github.com/PacktPublish 3. CUDA by Example 代码地址:github.com/CodedK/CUDA- 4. The CUDA HANDBOOK 代码地址:github.com/ArchaeaSoft...
A few cuda examples built with cmake. Contribute to drufat/cuda-examples development by creating an account on GitHub.
There are now extensive guides and examples on how to optimize your CUDA code. Find some useful links below: CUDA C Programming Guide CUDA Education Pages Performance Analysis Tools Optimized Libraries Q: How do I choose the optimal number of threads per block?
Examples of each of these option types are, respectively: Boolean option : nvdisams --print-raw <file> Single value : nvdisasm --binary SM70 <file> List options : cuobjdump --function "foo,bar,foobar" <file> Single value options and list options must have arguments, which must follow ...